Environment:
	Python: 3.7.6
	PyTorch: 1.7.0
	Torchvision: 0.8.1
	CUDA: 9.2
	CUDNN: 7603
	NumPy: 1.19.4
	PIL: 8.1.0
Args:
	algorithm: ERM
	checkpoint_freq: None
	data_dir: /checkpoint/dlp/datasets_new
	dataset: VLCS
	holdout_fraction: 0.2
	hparams: None
	hparams_seed: 1
	output_dir: domainbed/misc/test_sweep_data/0657090f9a83ff76efe083a104fde93a
	save_model_every_checkpoint: False
	seed: 360234358
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [1, 2]
	trial_seed: 0
	uda_holdout_fraction: 0
HParams:
	batch_size: 39
	class_balanced: False
	data_augmentation: True
	lr: 2.7028930742148706e-05
	nonlinear_classifier: False
	resnet18: False
	resnet_dropout: 0.5
	weight_decay: 0.00044832883881609976
env0_in_acc   env0_out_acc  env1_in_acc   env1_out_acc  env2_in_acc   env2_out_acc  env3_in_acc   env3_out_acc  epoch         loss          step          step_time    
0.6448763251  0.6572438163  0.4602352941  0.4821092279  0.4028941356  0.3856707317  0.4883376527  0.4888888889  0.0000000000  1.6960320473  0             0.9077303410 
1.0000000000  1.0000000000  0.5694117647  0.5536723164  0.7517136329  0.7225609756  0.9303961496  0.8592592593  10.335689045  0.2295612923  300           0.2678673498 
0.9991166078  1.0000000000  0.5957647059  0.5800376648  0.7635186596  0.7240853659  0.9440947797  0.8548148148  20.671378091  0.0907488818  600           0.2698669426 
1.0000000000  1.0000000000  0.5976470588  0.6082862524  0.7559025133  0.7256097561  0.9800074047  0.8503703704  31.007067137  0.0480223160  900           0.2695488143 
1.0000000000  1.0000000000  0.5680000000  0.5687382298  0.7482863671  0.7362804878  0.9840799704  0.8474074074  34.452296819  0.0351698661  1000          0.2753722453 
